EdgeCrafting: mining embedded, latent, nonlinear patterns to construct gene relationship networks.

ABSTRACT: The mechanisms that coordinate cellular gene expression are highly complex and intricately interconnected. Thus, it is necessary to move beyond a fully reductionist approach to understanding genetic information flow and begin focusing on the networked connections between genes that organize cellular function. Continued advancements in computational hardware, coupled with the development of gene correlation network algorithms, provide the capacity to study networked interactions between genes rather than their isolated functions. For example, gene coexpression networks are used to construct gene relationship networks using linear metrics such as Spearman or Pearson correlation. Recently, there have been tools designed to deepen these analyses by differentiating between intrinsic vs extrinsi

SUBMITTER: Husain B 

PROVIDER: S-EPMC8982412 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature